GitHub Issue Creation
Turn in-app feedback and errors into GitHub issues that already carry the useful context.
What it adds
A server-side path from a report, error, or internal request to an issue in a configured GitHub repository, with the issue reference stored on the originating record.
What your agent is told to do
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What your agent is told to do
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Add an admin-level connection holding the organization, repository, default labels, and default assignee, and validate it at setup by performing a real read against the repository. Store the credential server-side only; it must never reach the browser, an environment file shipped to the client, or the issue body.
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Assemble the issue body on the server from what the app already knows: the originating record, the acting user's role, the app version or release, and a deep link back into the app. Redact tokens, session identifiers, and personal data from any log excerpt or screenshot before it is attached.
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Derive a stable idempotency key from the originating record and check for an existing issue reference before creating anything, so a retry, a double click, or a timed-out request that actually succeeded does not open a second issue.
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Persist the returned issue reference and its last known state on the record, and update that state from GitHub's webhooks. Treat webhook deliveries as at-least-once and possibly out of order: dedupe by delivery identifier and ignore an event older than the state you already hold.
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GitLab Issue Creation, Linear Issue Creation, Jira Ticket Creation, Trello Card Creation, and Asana Task Creation are siblings of this brief. Put the shared half — capturing the report, redacting it, deduplicating, and storing the external reference — in one place, and let each provider own only its authentication, field mapping, and error translation.
Edge cases it handles
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Edge cases it handles
8- The connection's organization, repository, labels, and assignee must be chosen from what the connected account can actually see, and re-validated when used. A repository renamed, transferred, or archived since setup has to surface a clear configuration error to an administrator rather than silently dropping reports.
- Logs, stack traces, and screenshots routinely contain access tokens, email addresses, and customer data. Redact server-side before upload, and where a screenshot cannot be inspected, require the reporter to confirm it contains nothing private.
- Repeated reports of the same problem must not produce dozens of issues. Fingerprint on the error signature or the originating record, and comment on or link to the existing issue instead of opening a new one.
- The reporting user usually has no GitHub account and no access to the repository. Create the issue through the app's own connection, attribute the reporter in the body, and never expose the repository or the issue's private contents back to a user who should not see them.
- Store the issue reference immediately so status can be synchronised later. Without it, a closed issue never gets reflected back to the person who reported the problem.
- The stored credential will expire, be revoked, or lose a scope. Detect authentication failures distinctly from other errors, queue the affected reports, and notify an administrator to reconnect rather than discarding the submissions.
- Rate limiting and secondary abuse limits need exponential backoff with jitter and a bounded retry window, with the reports held in the queue meanwhile.
- When GitHub is unavailable, accept the report into the app first and create the issue asynchronously. The user should see that their feedback was received, not an error from someone else's outage.
Definition of done
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Definition of done
9- A report submitted in the app becomes an issue in the configured repository with a link back to the originating record.
- The repository credential exists only on the server and never appears in client code, responses, or issue content.
- Retries and duplicate submissions reuse the existing issue rather than creating another.
- Attached logs and screenshots are redacted before they leave the app.
- The issue reference and its current state are stored on the record and updated from webhooks idempotently.
- Expired or revoked credentials queue the reports and alert an administrator instead of failing silently.
- A GitHub outage still records the user's report, which is created once the service returns.
- The feature matches the existing design system.
- No existing functionality is broken.
Related features
AI Cost Budgets
AI Cost Budgets
Cap what AI features are allowed to spend before the bill arrives.
What it does
Monetary spending limits on AI work, scoped by workspace, feature, and time period, enforced before a run starts.
How it works
- 1 Find every place the app calls a model and route all of them through one accounting point that records estimated and actual spend against a scope. A budget that only covers the chat feature is not a budget.
- 2 Estimate the cost of a run from the size of its input before dispatching it, and refuse anything that would exceed the remaining budget on its own.
- 3 Reserve the estimate against the budget when the run starts, then reconcile to the real usage figures when it finishes, releasing whatever was over-reserved.
Copy the prompt
No account needed
Add this feature to my app:
https://addthisfeature.com/x/ai-cost-budgets
Multi-Model Routing
Multi-Model Routing
Send each AI request to the right model using rules you can read and test.
What it does
A deterministic routing layer that picks a model per request from task type, context size, latency budget, and data sensitivity.
How it works
- 1 Express routing as explicit, ordered rules over inputs the app can measure: task type, estimated context size, latency budget, and the sensitivity classification of the data involved. A rule set that can be read line by line can be reviewed and tested.
- 2 Make routing deterministic. The same inputs must always produce the same route, so a bad output can be reproduced and a rule change can be evaluated. Randomised or load-based selection turns every incident into guesswork.
- 3 Classify data before routing and refuse to route restricted content to any destination not approved for it. This check is a hard block, not a preference, and it must run before the request is assembled.
Copy the prompt
No account needed
Add this feature to my app:
https://addthisfeature.com/x/multi-model-routing
SEO Setup
SEO Setup
Make your app findable — titles, meta, Open Graph, sitemap, robots.
What it does
The baseline SEO and social-preview setup every public app should have, and most skip.
How it works
- 1 Give every public page a unique, descriptive title and meta description. Find the app's layout and add a mechanism for each page to set them.
- 2 Add Open Graph and Twitter Card tags so shared links render a preview instead of a bare URL.
- 3 Generate a sitemap.xml covering every public, indexable page, and a robots.txt pointing at it.
Copy the prompt
No account needed
Add this feature to my app:
https://addthisfeature.com/x/seo-setup
How it works
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1
Copy the link
Grab the Markdown instruction URL for this feature.
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Give it to your AI
Paste it into Claude Code, Cursor, v0, Lovable — whatever you build with.
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It inspects, then implements
Your agent reads your existing app first, then adds the feature to fit it.
Works with your stack
These instructions are written to adapt. They tell the agent to detect your framework, match your existing design system, and reuse what you already have — rather than assuming a particular stack.
Need it tighter than that? Customize the feature and tell it exactly what you're running.